Online Access Free NS0-901 Exam Questions

An internal audit requires the firm to prove the exact state of the financial product documentation that was used by the chatbot to answer a specific query from last Tuesday. The query log shows the request was processed at '2025-07-11T14:30:00Z'. The data pipeline that updates the vector database runs daily at midnight.
Which NetApp technology allows the team to instantly access an immutable, point-in-time version of the vector database volume as it existed on that specific day?

• A.NetApp FabricPool
• B.NetApp SnapMirror
• C.NetApp FlexClone
• D.NetApp Snapshots

The firm wants to extend the "Advisor Assistant" to include a new batch processing feature. Every night, the system must analyze every client portfolio against a set of 50 different risk models and generate a compliance report. This is a highly parallel, read-intensive workload. The architect must design a data workflow that is efficient and does not impact the production chatbot environment. Which sequence of actions and technologies provides the most effective solution?

• A.Use NetApp SnapMirror to replicate the portfolio database volume to the DR site, and run the analysis jobs there.
• B.Create a NetApp Snapshot of the portfolio database volume, create a FlexClone from that snapshot, mount the FlexClone to the analysis pods, and run the batch job.
• C.Create a full physical copy of the client portfolio database to a separate volume, mount it to the compute nodes, and run the analysis.
• D.Run the analysis job directly against the production portfolio database during off-peak hours.

The data anonymization job, running in a Kubernetes pod, fails. The pod logs show a "Permission Denied" error when trying to access the source volume on the on-premises ASA. An administrator checks the export policy rule for the volume.
The active rule is as follows:
Rule_Index: 1
Client_Match: 10.50.0.0/16
Protocols: nfs4
Read_Only_Access: sys
Read_Write_Access: -
Superuser_Access: none
The Kubernetes pod that failed has an IP address of '10.60.5.10'.
What is the cause of the "Permission Denied" error?

• A.The pod's IP address ('10.60.5.10') is not within the allowed client match range ('10.50.0.0/16').
• B.The 'Superuser_Access' setting is too restrictive.
• C.The export policy only allows access via the NFSv4 protocol.
• D.The export policy does not grant read-write access, which is required by the anonymization job.

An AI training job is running slower than expected. The infrastructure team suspects a compute bottleneck. The job involves processing high-resolution images with a complex convolutional neural network (CNN). They review the logs from the training script.
Epoch 1/100 - 3600s - loss: 1.253 - acc: 0.54
...
CPU_Utilization_During_Epoch: 99% (all cores)
GPU_0_Utilization_During_Epoch: 8%
GPU_1_Utilization_During_Epoch: 7%
...
Epoch 2/100 - 3610s - loss: 1.102 - acc: 0.61
What is the most likely cause of the poor training performance?

• A.The storage system cannot deliver data fast enough to the compute node.
• B.The model is too simple and does not effectively utilize the GPU's parallel processing capabilities.
• C.The training script is CPU-bound, likely performing data augmentation or preprocessing on the CPU instead of offloading it to the GPUs.
• D.The network is saturated, preventing the GPUs from receiving data.

An AI platform is suffering from poor performance during distributed training jobs. The training data resides on a single, large NFS volume. Monitoring shows that while the overall network throughput to the storage system is high, individual GPU nodes experience significant I/O wait times, and the single ONTAP volume is becoming a performance bottleneck. The goal is to re- architect the storage layout to maximize read parallelism and throughput for the training cluster.
Which two actions should the architect take to address this performance bottleneck? (Choose 2.)

• A.Implement a NetApp FlexGroup volume to spread the dataset across multiple constituent volumes and aggregates.
• B.Increase the number of network ports connected to the storage controller.
• C.Replace the NFS protocol with iSCSI for all training data access.
• D.Use NetApp FlexCache to create a local cache of the training data on each compute node.
• E.Enable QoS maximums on the training volume to limit its IOPS.